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How to Use the ShipEngine MCP in Vercel AI SDK

ShipEngine for ai-sdk: Stream real-time logistics data right into your React UI.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vinkius runs on Vercel AI SDK

Connect ShipEngine MCP to Vercel AI SDK

Create your Vinkius account to connect ShipEngine to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Key Capabilities

Real-Time Rate Comparison with the MCP Server

The `get_shipping_rates` tool instantly compares rates from major carriers like UPS and FedEx. When a user inputs dimensions and zones, your agent calls this tool, and the resulting rate data streams directly to the UI. You see the price changes appear live, without waiting for a loading spinner. This mechanism handles multiple carrier APIs simultaneously, giving you choice and transparency right where the user is looking.

Generate Labels Programmatically

Use `create_shipping_label` when the rate selection is final. This tool processes the necessary data to generate a printable label file for the shipment. Your AI client handles the entire transaction, from initial request through PDF export. It also provides `get_label_info`, letting you verify metadata about the generated label before presenting it to the user.

Track Packages and Validate Addresses

Need to know where that package is? The `track_package` tool checks live shipment status across carriers. It updates your UI with real-time tracking data, making the process feel immediate. Before anything else, always use `validate_address`. This prevents bad inputs from crashing your workflow; it confirms the shipping address works before you calculate rates or generate a label.

Setup guide

Set up ShipEngine MCP in Vercel AI SDK

Prerequisites

  • Node.js 18+ and a TypeScript project
  • ai + @modelcontextprotocol/sdk packages
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).

  2. 2

    Create the Streamable HTTP transport

    Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

  3. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all ShipEngine tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 4

    Works with any model provider

    Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts
import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent ShipEngine transactions",
});

console.log(text);
await mcpClient.close();

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by ShipEngine. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ShipEngine MCP in Vercel AI SDK

When using `get_shipping_rates` via your AI client, the result streams back live. This means you don't wait; the user sees rates appearing in real time on your page. It’s designed specifically for building responsive UIs.
Absolutely. Once your client determines the best rate, calling `create_shipping_label` handles the entire process: generating and exporting the physical label file for you. You'll also get the necessary metadata via `get_label_info`.
This server primarily touches shipping address details and package dimensions. The tools handle this information to generate rates, labels, and tracking updates for the user's product.
Yes. You can call `list_shipments` to pull recent shipment records directly into your application state. This gives you a history view that doesn't require the user to manually enter data.
It does. The `list_carriers` tool shows all connected options, and the rate comparison tools pull rates from dozens of global sources into one unified view for you.

Start using the ShipEngine MCP today

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